VoxelBars: An Informative Interface for Volume Visualization

Authors:
Wai-Ho Mak;Ming-Yuen Chan;Yingcai Wu;Ka-Kei Chung;Huamin Qu
Affiliations:
Department of Computer Science and Engineering, The Hong Kong University of Science and Technology,;Department of Computer Science and Engineering, The Hong Kong University of Science and Technology,;Department of Computer Science and Engineering, The Hong Kong University of Science and Technology,;Department of Computer Science and Engineering, The Hong Kong University of Science and Technology,;Department of Computer Science and Engineering, The Hong Kong University of Science and Technology,
Venue:
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Year:
2008

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Abstract

In this paper, we present VoxelBars as an informative interface for volume visualization. VoxelBars arrange voxels into a 2D space and visually encode multiple attributes of voxels into one display. VoxelBars allow users to easily find out clusters of interesting voxels, set opacities and colors of a specific group of voxels, and achieve various sophisticated visualization tasks at voxel level. We provide results on real volume data to demonstrate the advantages of the VoxelBars over scatterplots and traditional transfer function specification methods. Some novel visualization techniques including visibility-aware transfer function design and selective clipping based on VoxelBars are also introduced.